How can banks scale high-risk customer due diligence without increasing reliance on senior investigators?
Complex due diligence reviews are automated using AI Agents that evaluate ownership structures, risk indicators, and policy requirements, enabling institutions to scale investigations efficiently while maintaining regulatory confidence.
Iris 7’s Expert CDD Agent evaluates complex customer profiles against institutional CDD and EDD frameworks, assessing beneficial ownership, PEP exposure, jurisdictional nuance, and conflicting data to deliver consistent, policy-bound decisions.
Each review results in a clear outcome – acceptance, escalation, enhanced monitoring, or conditional review – supported by structured reasoning aligned with internal policy and governance.
Key Client Challenges
Complex CDD and EDD reviews represent some of the most judgment-intensive work in financial crime compliance, requiring careful interpretation of risk, policy, and often incomplete information.
Financial institutions must routinely:
Assess high-risk customers, politically exposed persons (PEPs), and complex corporate entities
Reconcile incomplete, conflicting, or outdated information across multiple sources
These reviews are difficult to standardise and costly to scale. Decisions depend on expert interpretation of policy and the ability to clearly explain why risks are accepted, mitigated, or escalated.
Case Context Assembly
Relevant customer information, ownership structures, jurisdictional exposure, risk indicators, and supporting documentation are brought together to establish a complete investigative context.
Policy-Aligned Risk Evaluation
Each case is assessed against internal CDD and EDD policies, considering ownership complexity, PEP exposure, jurisdictional risk, and inconsistencies across sources.
Structured Decision Output
Each case produces a clear outcome of acceptance, escalation, enhanced monitoring, or conditional review, with documented reasoning that explains how policy was applied and why the decision was reached.
Ownership and control relationships clearly mapped
Designed to operate within existing governance frameworks
Expert-level AI evaluation of complex customer risk, enabling institutions to scale high-risk due diligence while maintaining consistent, defensible decisions.
